An Atlas for Cardiac MRI Regional Wall Motion and Infarct Scoring

  • Pau Medrano-Gracia
  • Avan Suinesiaputra
  • Brett Cowan
  • David Bluemke
  • Alejandro Frangi
  • Daniel Lee
  • João Lima
  • Alistair Young
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7746)


Regional wall motion and infarct scoring of MR images are routine clinical tools to grade performance and scarring in the heart. The aim of this paper is to provide a framework for automatic scoring to alert the diagnostician to potential regions of abnormality. We investigated different shape and motion configurations of a finite-element cardiac atlas of the left ventricle. Two patient populations were used: 300 asymptomatic volunteers and 105 patients with myocardial infarction, both randomly selected from the Cardiac Atlas Project database. Support vector machines were employed to estimate the boundaries between the asymptomatic control and patient groups for each of 16 standard anatomical regions in the heart. Ground truth visual wall motion scores from standard cines and infarct scoring from late enhancement were provided by experienced observers. From all configurations, end-systolic shape best predicted wall motion abnormalities (global accuracy 78%, positive predictive value 85%, specificity 91%, sensitivity 60%) and infarct scoring (74%, 72%, 91%, 44%). In conclusion, computer assisted wall motion and infarct scoring has the potential to provide robust identification of those segments requiring further clinical attention; in particular, the high specificity and relatively low sensitivity could help avoid unnecessary late gadolinium rescanning of patients.


Support Vector Machine Positive Predictive Value Wall Motion Late Gadolinium Enhancement Regional Wall Motion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Pau Medrano-Gracia
    • 1
  • Avan Suinesiaputra
    • 1
  • Brett Cowan
    • 1
  • David Bluemke
    • 2
  • Alejandro Frangi
    • 3
  • Daniel Lee
    • 4
  • João Lima
    • 5
  • Alistair Young
    • 1
  1. 1.Auckland Bioengineering Inst.University of AucklandNew Zealand
  2. 2.NIH Clinical Ctr.BethesdaUSA
  3. 3.Dept. of Mechanical EngineeringUniversity of SheffieldUnited Kingdom
  4. 4.Feinberg Cardiovascular Research Inst.Northwestern UniversityChicagoUSA
  5. 5.Donald W. Reynolds Research Ctr.Johns Hopkins UniversityBaltimoreUSA

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